• Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.
• Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

• Translate business objectives into analytic approaches and identify data sources to support analysis.
• Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
• Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications. 
• Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis with hands on experience on some of them.
• Familiarity with NLP concepts.
• Strong on Generative AI with using ChatGPT or any other LLMs with hands on experience.
• Communicate results and educate others through reports and presentations.

Good To have:

DevOps and Code Version Control (GIT)

Familiarity software development best practice

• Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.
• Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

• Translate business objectives into analytic approaches and identify data sources to support analysis.
• Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
• Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications. 
• Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis with hands on experience on some of them.
• Familiarity with NLP concepts.
• Strong on Generative AI with using ChatGPT or any other LLMs with hands on experience.
• Communicate results and educate others through reports and presentations.

Good To have:

DevOps and Code Version Control (GIT)

Familiarity software development best practice

• Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.
• Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

• Translate business objectives into analytic approaches and identify data sources to support analysis.
• Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
• Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications. 
• Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis with hands on experience on some of them.
• Familiarity with NLP concepts.
• Strong on Generative AI with using ChatGPT or any other LLMs with hands on experience.
• Communicate results and educate others through reports and presentations.

Good To have:

DevOps and Code Version Control (GIT)

Familiarity software development best practice